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Decision Making

Papers

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Showing 4201–4250 of 12311 papers

TitleStatusHype
Causal machine learning for sustainable agroecosystems—0
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals—0
Causal machine learning for predicting treatment outcomes—0
Application of Deep Reinforcement Learning to Payment Fraud—0
Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence—0
Active Sensing as Bayes-Optimal Sequential Decision Making—0
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests—0
Causal Learning for Trustworthy Recommender Systems: A Survey—0
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning—0
Application of Deep Learning Methods to Processing of Noisy Medical Video Data—0
Causality Refined Diagnostic Prediction—0
Causality for Natural Language Processing—0
Application of deep learning for livestock behaviour recognition: A systematic literature review—0
Active Sensing as Bayes-Optimal Sequential Decision Making—0
Application of DEA in International Market Selection for the export of products from Spain—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
Causality-based Neural Network Repair—0
Causality and Robust Optimization—0
Application of data engineering approaches to address challenges in microbiome data for optimal medical decision-making—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
Metareasoning in uncertain environments: a meta-BAMDP framework—0
Enhancing Workplace Productivity and Well-being Using AI Agent—0
Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
Accelerating Federated Edge Learning via Topology Optimization—0
Application of Classification and Feature Selection in Building Energy Simulations—0
Enhancing Temporal Link Prediction with HierTKG: A Hierarchical Temporal Knowledge Graph Framework—0
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation—0
Application of AI to formal methods -- an analysis of current trends—0
Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking—0
Enhancing Text Classification with a Novel Multi-Agent Collaboration Framework Leveraging BERT—0
Causal Influences over Social Learning Networks—0
Causal Influence in Federated Edge Inference—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
Causal Inference with Complex Treatments: A Survey—0
Causal Inference under Data Restrictions—0
Application and practice of AI technology in quantitative investment—0
Enhancing transparency in AI-powered customer engagement—0
Causal inference in drug discovery and development—0
Causal inference for data-driven debugging and decision making in cloud computing—0
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design—0
Causal Image Synthesis of Brain MR in 3D—0
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems—0
Appliance Level Short-term Load Forecasting via Recurrent Neural Network—0
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
Causal Graph Neural Networks for Wildfire Danger Prediction—0
Causal Forecasting for Pricing—0
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain—0
Causal Post-Processing of Predictive Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified